Security Scan Report: www.glpwinner.com

Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is glpwinner.com and was registered 2 years 5 months ago.

Submitted URL: https://www.glpwinner.com/insights/semaglutide-and-tirzepatide-recall-fda-alert-and-what-it-means-for-you

The Cisco Umbrella rank of the primary domain is #343,716 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established health-information site publishing an accurate-looking article on an FDA recall of compounded GLP-1 drugs. No forms, no impersonation, no threat-intel hits — legitimate.

Safety Factors (5)
Well-established domain (~2.5 years old) with Umbrella top-1M ranking
Self-branding: title and meta match the domain, no other entity's brand is claimed
No credential, login or payment fields; no forms at all
No threat-intel, JavaScript malware, or network IDS findings
Editorial content with named author, publication date, and citations to FDA sources
Domain age information unavailable

Details

Page Title

Semaglutide & Tirzepatide Recall: What to Know | GLP Winner

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.glpwinner.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'glpwinner' spans 9 characters containing 2 vowels alongside 7 consonants. Splitting it apart reveals 3 words: g, lp, winner. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.glpwinner.com/insights/semaglutide-and-tirzepatide-recall-fda-alert-and-what-it-means-for-you

Page Load Overview

0.20s
Total Load Time
34 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,517 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical57% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
57%
documentation technical
37%
social media network
35%
adult content
33%
government public service
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
276.76.21.22Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
0172.64.148.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.97Google · CDNUnited States
AS15169Google LLC
018.66.102.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
03.64.223.116Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
013.32.121.2Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
018.172.112.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
065.9.130.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
023.36.162.25Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
220--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE24D76FB004E82ABCA7CE4A513F5F3E904DD537877DC968E18DCC6A034297A172AD94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:nKGBCIpBkrYoK7cLrphWS8/u79/UR5KdO6c/+zGfpOG4NQO8ScyaDdC:n9BCMBkrYoK7cLrphWS8/u79/UR5KE63

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:222066:gtIUNIOCiEUsEJBiKICTIhdQAkXgABAdJEQihlKaJBgcCDw0NTQHQgDWcRhQERyDo4J0TojADA2FIWgGBFCLWCIhV7CIIkSs

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:fcfcfefe3f000000
Perceptual Hash:d2f0683d9f32111f
Difference Hash:a5858ccc6ced6961
Wavelet Hash:fcfcfeff2f000000
Color Hash:#b7bf40

Scan History

Scan history not available

Unable to load historical scan data